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What NVIDIA GT200 GPUs Can Do at Folding @ Home, Stanford Completes GPU Client Development
As you know, during the NVIDIA Editor’s Day event, the company
Folding @ Home research group led by Vijay
Pande) is quite unexpected (even for those who follow developments and news
project) reported that GPU2 subproject for
video processors from NVIDIA, which could use a huge
power of new GPUs (GT200) while
time when video cards are not used for their intended purpose –
acceleration of graphics in games.
A source today announced that the GPU2 / NVIDIA client should be
take place next week. At the same time, it is reported and
how much more efficiently tasks for the subgroup will be processed
GPU through the use of new developments
NVIDIA with CUDA architecture. In the meantime, the performance leader is
Radeon HD 3870 based cards and GPU2 / AMD client
New GeForce GTX 200 Series Cards Expected,
will be able to simulate a little more than 650 ns of the behavior of the studied proteins per day
work, which compared to the rest of the results is just a breakthrough. So,
the power of the Radeon HD 3870 is “only” enough to simulate 170 ns, a processor
Cell (PlayStation3 client) – 100 ns, and processors
general purpose, having 4 cores – provide about 4 ns, according to the source.
points for the completed task are distributed in different ways, but in this case we
interested in the useful power of each computing resource for the project. So
Thus, in the context of Folding @ Home tasks, the power of the new GeForce GPUs should
outperform the power of general-purpose processors by about 163 times. FROM
the emergence of new members (or old ones who have updated computing power)
the GPU group can probably easily overtake the donor
productivity “group Windows and PLAYSTATION3, as did the latter,
bypassing everyone some time after its appearance in the project.
Sources: Folding @ Home,